Michael R. Garvin

Telomere-to-telomere assemblies reveal complex adaptive variation of 3-ketoacyl-CoA-synthases in Populus trichocarpa likely driven by helitrons

The paper uses long-read sequencing to analyze telomere-to-telomere assemblies in Populus trichocarpa, revealing complex KCS gene variation and its association with helitron transposons.

Maintenance of Heterochromatin links Chromatin Modifiers and Neurodevelopment in Autism Spectrum Disorder

The paper investigates how chromatin modification and genomic structural variants contribute to neurodevelopment and autism spectrum disorder by analyzing multiomic data.

Clustering the Planet: An Exascale Approach to Determining Global Climatype Zones

The paper uses exascale computing to generate high-resolution global geoclimate zones by clustering environmental similarity data from 71 variables over 50 years.

Structural and functional characterization of NEMO cleavage by SARS-CoV-2 3CLpro

This study characterizes how SARS-CoV-2 3CLpro cleaves NEMO, revealing structural and functional insights that explain its high fitness in humans.

Digging deeper into GWAS signal using GRIN implicates additional genes contributing to suicidal behavior

This study relaxes GWAS significance thresholds and uses GRIN to identify additional genes linked to suicidal behavior, which replicate across cohorts and show stronger biological connections.

Structural Variants Are a Major Component of the Missing Heritability of Autism Spectrum Disorder

The paper identifies structural variants (SVs) in ASD families and links them to molecular pathways and genes associated with non-verbal ASD, using explainable AI for subgroup identification.

Functional Immune Deficiency Syndrome via Intestinal Infection in COVID-19

The paper uses a systems biology approach to analyze COVID-19 data and identifies non-respiratory infection pathways as key to its global spread.

Synchronized genetic activities in Alzheimer's brains revealed by heterogeneity-capturing network analysis

The paper introduces Maestro, a network analysis method that identifies synchronized genetic activities in Alzheimer's disease, finding a pattern associated with AD that is significantly more common in cases than controls.